Overview

Dataset statistics

Number of variables20
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.2 KiB
Average record size in memory160.3 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:09:58.436831
Analysis finished2020-08-25 00:10:58.456834
Duration1 minute and 0.02 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz9 has unique values Unique
oz17 has unique values Unique
oz1 has unique values Unique
oz24 has unique values Unique
oz12 has unique values Unique
oz10 has unique values Unique
oz14 has unique values Unique
oz2 has unique values Unique
oz23 has unique values Unique
oz6 has unique values Unique
oz3 has unique values Unique
oz13 has unique values Unique
oz16 has unique values Unique
oz4 has unique values Unique
oz5 has unique values Unique
oz21 has unique values Unique
oz18 has unique values Unique
oz22 has unique values Unique
oz19 has unique values Unique
target has unique values Unique

Variables

oz9
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1344673129798366e-09
Minimum-1.6894526481628418
Maximum1.7574503421783447
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:10:58.508147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.689452648
5-th percentile-1.527481562
Q1-0.8583435416
median-0.002728239226
Q30.8265286088
95-th percentile1.610887945
Maximum1.757450342
Range3.44690299
Interquartile range (IQR)1.68487215

Descriptive statistics

Standard deviation0.999999998
Coefficient of variation (CV)881470965.7
Kurtosis-1.13897761
Mean1.134467313e-09
Median Absolute Deviation (MAD)0.8487432743
Skewness0.04684308485
Sum5.672336565e-07
Variance0.9999999959
2020-08-25T00:10:58.622061image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.68945264810.2%
 
-0.456114292110.2%
 
-0.586248040210.2%
 
0.0755218416510.2%
 
-0.741044998210.2%
 
0.460609495610.2%
 
1.74154198210.2%
 
-0.370279431310.2%
 
0.923179328410.2%
 
-0.794276177910.2%
 
-0.979158639910.2%
 
0.984841883210.2%
 
-1.15106034310.2%
 
0.323898583710.2%
 
0.331711292310.2%
 
-0.145593017310.2%
 
-1.49605560310.2%
 
1.68818330810.2%
 
1.4909286510.2%
 
0.10737807310.2%
 
-0.0361547693610.2%
 
-1.23672425710.2%
 
0.201532080810.2%
 
-0.631214320710.2%
 
-0.333302408510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.68945264810.2%
 
-1.68609356910.2%
 
-1.6774215710.2%
 
-1.66702842710.2%
 
-1.65766656410.2%
 
-1.65481245510.2%
 
-1.64534735710.2%
 
-1.64258801910.2%
 
-1.63537502310.2%
 
-1.62193763310.2%
 
ValueCountFrequency (%) 
1.75745034210.2%
 
1.75152194510.2%
 
1.74747347810.2%
 
1.74691307510.2%
 
1.74154198210.2%
 
1.7320201410.2%
 
1.72473204110.2%
 
1.72042894410.2%
 
1.71591067310.2%
 
1.70736634710.2%
 

oz17
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2165629743351476e-10
Minimum-1.7487043142318726
Maximum1.7200802564620972
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:10:58.898097image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.748704314
5-th percentile-1.592860854
Q1-0.8627975881
median0.09170094877
Q30.8166750818
95-th percentile1.552888656
Maximum1.720080256
Range3.468784571
Interquartile range (IQR)1.67947267

Descriptive statistics

Standard deviation0.999999996
Coefficient of variation (CV)2371599813
Kurtosis-1.160990153
Mean4.216562974e-10
Median Absolute Deviation (MAD)0.8429888785
Skewness-0.06034470739
Sum2.108281487e-07
Variance0.9999999919
2020-08-25T00:10:59.006953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.56836295110.2%
 
-1.69018745410.2%
 
-0.954441130210.2%
 
1.35810530210.2%
 
1.21156275310.2%
 
1.16347897110.2%
 
0.677110493210.2%
 
-1.16477084210.2%
 
-0.406323283910.2%
 
1.63353037810.2%
 
-0.364925891210.2%
 
0.18447977310.2%
 
0.587276816410.2%
 
0.432787299210.2%
 
1.47873079810.2%
 
-0.355653554210.2%
 
-0.407397478810.2%
 
-0.690800249610.2%
 
-0.21322788310.2%
 
1.36638736710.2%
 
-0.776118218910.2%
 
-0.924426257610.2%
 
1.50911915310.2%
 
1.34787106510.2%
 
-0.633195102210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.74870431410.2%
 
-1.73812663610.2%
 
-1.7373616710.2%
 
-1.72490239110.2%
 
-1.72372674910.2%
 
-1.72060978410.2%
 
-1.71583771710.2%
 
-1.7157739410.2%
 
-1.71465539910.2%
 
-1.71091723410.2%
 
ValueCountFrequency (%) 
1.72008025610.2%
 
1.69801998110.2%
 
1.69435572610.2%
 
1.69047355710.2%
 
1.68860495110.2%
 
1.66438758410.2%
 
1.6630599510.2%
 
1.65238475810.2%
 
1.64852070810.2%
 
1.63896727610.2%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2819655275109199e-09
Minimum-2.247589111328125
Maximum2.260695219039917
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:10:59.128518image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.247589111
5-th percentile-1.572238237
Q1-0.7339075655
median-0.01043035043
Q30.7545472234
95-th percentile1.788364255
Maximum2.260695219
Range4.50828433
Interquartile range (IQR)1.488454789

Descriptive statistics

Standard deviation0.9999999972
Coefficient of variation (CV)780052174.4
Kurtosis-0.6860074502
Mean1.281965528e-09
Median Absolute Deviation (MAD)0.7393768285
Skewness0.1354686725
Sum6.409827638e-07
Variance0.9999999945
2020-08-25T00:10:59.222909image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.673826217710.2%
 
-0.77434599410.2%
 
1.83073127310.2%
 
1.85638546910.2%
 
1.21941363810.2%
 
0.350263625410.2%
 
-1.14250159310.2%
 
0.488112062210.2%
 
-0.681005299110.2%
 
1.15874791110.2%
 
1.01884114710.2%
 
0.106976807110.2%
 
-0.227137520910.2%
 
1.00007629410.2%
 
-1.0087970510.2%
 
1.81765568310.2%
 
2.0007085810.2%
 
0.355869293210.2%
 
-2.208458910.2%
 
2.17330837210.2%
 
1.40501415710.2%
 
-2.24758911110.2%
 
0.984322726710.2%
 
1.18822646110.2%
 
0.0494359545410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.24758911110.2%
 
-2.208458910.2%
 
-2.18566584610.2%
 
-2.04339909610.2%
 
-2.00171613710.2%
 
-1.98828625710.2%
 
-1.84827113210.2%
 
-1.84685015710.2%
 
-1.8446531310.2%
 
-1.80722069710.2%
 
ValueCountFrequency (%) 
2.26069521910.2%
 
2.17330837210.2%
 
2.15160870610.2%
 
2.10519862210.2%
 
2.09629583410.2%
 
2.0855832110.2%
 
2.07706117610.2%
 
2.0529582510.2%
 
2.04241633410.2%
 
2.0007085810.2%
 

oz24
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.390202669426799e-09
Minimum-1.7797353267669678
Maximum1.7305629253387451
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:10:59.326442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.779735327
5-th percentile-1.635233378
Q1-0.834967047
median-0.001380041962
Q30.8686569631
95-th percentile1.54404906
Maximum1.730562925
Range3.510298252
Interquartile range (IQR)1.70362401

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)-719319578.8
Kurtosis-1.153838162
Mean-1.390202669e-09
Median Absolute Deviation (MAD)0.8541785024
Skewness-0.04566651441
Sum-6.951013347e-07
Variance0.9999999971
2020-08-25T00:10:59.428211image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.72655594310.2%
 
-0.654617130810.2%
 
1.20370233110.2%
 
-0.842088162910.2%
 
0.915298640710.2%
 
-0.0869508907210.2%
 
1.11450183410.2%
 
-0.414700090910.2%
 
0.929113268910.2%
 
-1.13536632110.2%
 
-0.377595722710.2%
 
-1.69835233710.2%
 
-1.27406954810.2%
 
-1.71547758610.2%
 
-1.14321386810.2%
 
0.277993202210.2%
 
-1.75830757610.2%
 
-0.72102892410.2%
 
0.22667948910.2%
 
-0.109700098610.2%
 
-0.936288595210.2%
 
0.661468386710.2%
 
-0.676119148710.2%
 
0.0262557826910.2%
 
-1.35870802410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.77973532710.2%
 
-1.76578521710.2%
 
-1.75830757610.2%
 
-1.74560785310.2%
 
-1.74094510110.2%
 
-1.73294186610.2%
 
-1.72285878710.2%
 
-1.71547758610.2%
 
-1.70600938810.2%
 
-1.70314633810.2%
 
ValueCountFrequency (%) 
1.73056292510.2%
 
1.7298928510.2%
 
1.72822594610.2%
 
1.72698259410.2%
 
1.72655594310.2%
 
1.69810581210.2%
 
1.69616818410.2%
 
1.67995119110.2%
 
1.67981898810.2%
 
1.67921674310.2%
 

oz12
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.171611413359642e-09
Minimum-1.6420247554779053
Maximum1.7568618059158323
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:10:59.557030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.642024755
5-th percentile-1.484221888
Q1-0.8666233271
median-0.0297048213
Q30.8176986873
95-th percentile1.573549318
Maximum1.756861806
Range3.398886561
Interquartile range (IQR)1.684322014

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)460487541.1
Kurtosis-1.225036775
Mean2.171611413e-09
Median Absolute Deviation (MAD)0.8443437219
Skewness0.08935122044
Sum1.085805707e-06
Variance1
2020-08-25T00:10:59.660007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.282226353910.2%
 
-1.1686185610.2%
 
0.193348616410.2%
 
1.68863797210.2%
 
-0.38656511910.2%
 
0.736657023410.2%
 
-1.26429116710.2%
 
1.32679271710.2%
 
0.196122705910.2%
 
-1.37171888410.2%
 
0.319005817210.2%
 
0.475580811510.2%
 
1.59633803410.2%
 
-1.5717868810.2%
 
0.103277437410.2%
 
1.52799689810.2%
 
-1.14718294110.2%
 
1.43596863710.2%
 
0.082560636110.2%
 
-1.29362928910.2%
 
1.500663410.2%
 
0.932283580310.2%
 
-1.60416555410.2%
 
1.61078882210.2%
 
1.05731904510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.64202475510.2%
 
-1.6365423210.2%
 
-1.63102114210.2%
 
-1.62983930110.2%
 
-1.61925542410.2%
 
-1.61581659310.2%
 
-1.60762751110.2%
 
-1.60545897510.2%
 
-1.60416555410.2%
 
-1.57321214710.2%
 
ValueCountFrequency (%) 
1.75686180610.2%
 
1.75408518310.2%
 
1.73040020510.2%
 
1.71717011910.2%
 
1.7132834210.2%
 
1.71096217610.2%
 
1.70658338110.2%
 
1.70530915310.2%
 
1.70148587210.2%
 
1.68863797210.2%
 

oz10
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1578667908906936e-09
Minimum-1.8639121055603027
Maximum1.6563231945037842
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:10:59.770183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.863912106
5-th percentile-1.652601916
Q1-0.86360313
median0.1415971145
Q30.8464343995
95-th percentile1.439563704
Maximum1.656323195
Range3.5202353
Interquartile range (IQR)1.710037529

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)863657208.4
Kurtosis-1.159502592
Mean1.157866791e-09
Median Absolute Deviation (MAD)0.8152679205
Skewness-0.2234142862
Sum5.789333954e-07
Variance1.000000001
2020-08-25T00:10:59.876260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.939534068110.2%
 
1.49287664910.2%
 
-1.86391210610.2%
 
0.361486852210.2%
 
-1.33657741510.2%
 
-1.64460134510.2%
 
-1.57327544710.2%
 
-0.104817748110.2%
 
1.22136580910.2%
 
0.0219220612210.2%
 
1.01435017610.2%
 
-1.44794416410.2%
 
-0.314623802910.2%
 
0.914403915410.2%
 
1.12373423610.2%
 
0.969552755410.2%
 
-0.786501884510.2%
 
-1.61006867910.2%
 
-0.0322483070210.2%
 
-1.00069665910.2%
 
-1.57296419110.2%
 
0.00257736211610.2%
 
-0.125751644410.2%
 
1.14328455910.2%
 
1.49289405310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.86391210610.2%
 
-1.85353958610.2%
 
-1.85291802910.2%
 
-1.84964704510.2%
 
-1.83938765510.2%
 
-1.82565748710.2%
 
-1.81904566310.2%
 
-1.79961025710.2%
 
-1.78885328810.2%
 
-1.77913045910.2%
 
ValueCountFrequency (%) 
1.65632319510.2%
 
1.64843618910.2%
 
1.62389075810.2%
 
1.61121964510.2%
 
1.60337948810.2%
 
1.59878897710.2%
 
1.59712016610.2%
 
1.58979356310.2%
 
1.58650994310.2%
 
1.57515096710.2%
 

oz14
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.499429327367352e-10
Minimum-1.7339339256286619
Maximum1.6412771940231323
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:10:59.997259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.733933926
5-th percentile-1.560459912
Q1-0.8918596953
median0.08686409891
Q30.8514323682
95-th percentile1.514548486
Maximum1.641277194
Range3.37521112
Interquartile range (IQR)1.743292063

Descriptive statistics

Standard deviation0.9999999996
Coefficient of variation (CV)6669203952
Kurtosis-1.250830428
Mean1.499429327e-10
Median Absolute Deviation (MAD)0.8684524298
Skewness-0.07636915439
Sum7.497146637e-08
Variance0.9999999993
2020-08-25T00:11:00.102374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.41992175610.2%
 
-0.182459145810.2%
 
1.22523534310.2%
 
0.553595483310.2%
 
-0.920583307710.2%
 
0.743481099610.2%
 
-1.66860532810.2%
 
-0.560869097710.2%
 
-1.07049477110.2%
 
1.60612094410.2%
 
1.61199700810.2%
 
1.44793748910.2%
 
-1.37177205110.2%
 
0.252611517910.2%
 
0.550146460510.2%
 
1.51436400410.2%
 
1.29026114910.2%
 
-0.286795765210.2%
 
0.834336638510.2%
 
1.37961208810.2%
 
-0.625356793410.2%
 
-1.06322085910.2%
 
-1.22974765310.2%
 
0.891868650910.2%
 
0.0456769503710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.73393392610.2%
 
-1.72314083610.2%
 
-1.71994292710.2%
 
-1.71308517510.2%
 
-1.69711434810.2%
 
-1.69077575210.2%
 
-1.67962586910.2%
 
-1.67918527110.2%
 
-1.66860532810.2%
 
-1.65355467810.2%
 
ValueCountFrequency (%) 
1.64127719410.2%
 
1.64059042910.2%
 
1.63354051110.2%
 
1.62107145810.2%
 
1.61744165410.2%
 
1.61199700810.2%
 
1.60755312410.2%
 
1.60612094410.2%
 
1.60345554410.2%
 
1.59458100810.2%
 

oz2
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.147920893591504e-09
Minimum-1.6550966501235962
Maximum1.7714457511901855
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:11:00.218909image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.65509665
5-th percentile-1.475702578
Q1-0.8673771173
median-0.04849548079
Q30.899892211
95-th percentile1.587895483
Maximum1.771445751
Range3.426542401
Interquartile range (IQR)1.767269328

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)465566495.2
Kurtosis-1.21534705
Mean2.147920894e-09
Median Absolute Deviation (MAD)0.9092896078
Skewness0.0974021645
Sum1.073960447e-06
Variance1.000000005
2020-08-25T00:11:00.322990image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.37646314510.2%
 
0.846998035910.2%
 
-1.43223357210.2%
 
0.741150617610.2%
 
-0.627254545710.2%
 
0.085365146410.2%
 
-1.26037776510.2%
 
1.63537800310.2%
 
1.21837699410.2%
 
-1.44983696910.2%
 
1.0610195410.2%
 
-0.869453191810.2%
 
1.66859602910.2%
 
0.606759548210.2%
 
0.294500291310.2%
 
-0.328773498510.2%
 
-0.770880103110.2%
 
-1.27213776110.2%
 
1.34246456610.2%
 
0.896820366410.2%
 
-0.58529871710.2%
 
-0.277515500810.2%
 
0.284445941410.2%
 
1.42648160510.2%
 
-0.453300833710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.6550966510.2%
 
-1.65408122510.2%
 
-1.6444965610.2%
 
-1.64323079610.2%
 
-1.62131333410.2%
 
-1.62021911110.2%
 
-1.61919748810.2%
 
-1.61515212110.2%
 
-1.60282385310.2%
 
-1.60077631510.2%
 
ValueCountFrequency (%) 
1.77144575110.2%
 
1.7491993910.2%
 
1.73988723810.2%
 
1.7348197710.2%
 
1.7341985710.2%
 
1.70701634910.2%
 
1.6962411410.2%
 
1.69561529210.2%
 
1.68745303210.2%
 
1.68709206610.2%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7676502466201781e-09
Minimum-1.7063721418380735
Maximum1.7875397205352783
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:11:00.438427image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.706372142
5-th percentile-1.54986459
Q1-0.8747677356
median0.02716102451
Q30.8529647887
95-th percentile1.624370188
Maximum1.787539721
Range3.493911862
Interquartile range (IQR)1.727732524

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)-565722772.7
Kurtosis-1.165758828
Mean-1.767650247e-09
Median Absolute Deviation (MAD)0.861107789
Skewness0.04554112241
Sum-8.838251233e-07
Variance0.9999999973
2020-08-25T00:11:00.542353image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.734366655310.2%
 
1.24677193210.2%
 
-0.833326101310.2%
 
-1.42252135310.2%
 
0.882159590710.2%
 
-0.190266624110.2%
 
1.52207827610.2%
 
0.0785323157910.2%
 
-1.70637214210.2%
 
-0.0853968486210.2%
 
-1.1490993510.2%
 
1.50970554410.2%
 
0.0610560923810.2%
 
1.69598555610.2%
 
-0.734713435210.2%
 
0.576664328610.2%
 
-0.995493173610.2%
 
-0.621637582810.2%
 
-0.00576512794910.2%
 
-1.22334945210.2%
 
-0.915387868910.2%
 
0.968127250710.2%
 
-1.04953646710.2%
 
-0.682975530610.2%
 
-1.51415312310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.70637214210.2%
 
-1.70171892610.2%
 
-1.70031678710.2%
 
-1.66728305810.2%
 
-1.66189014910.2%
 
-1.64124834510.2%
 
-1.63717925510.2%
 
-1.63180398910.2%
 
-1.62967932210.2%
 
-1.62843942610.2%
 
ValueCountFrequency (%) 
1.78753972110.2%
 
1.78295385810.2%
 
1.77613258410.2%
 
1.77499115510.2%
 
1.74518537510.2%
 
1.74460899810.2%
 
1.74132835910.2%
 
1.73978805510.2%
 
1.7397482410.2%
 
1.73839020710.2%
 

oz6
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2852251529693605e-10
Minimum-1.5764060020446775
Maximum1.7937334775924685
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:11:00.659314image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.576406002
5-th percentile-1.434371954
Q1-0.9409904629
median-0.003926612204
Q30.8456339538
95-th percentile1.604236954
Maximum1.793733478
Range3.37013948
Interquartile range (IQR)1.786624417

Descriptive statistics

Standard deviation0.9999999982
Coefficient of variation (CV)7780737841
Kurtosis-1.258751456
Mean1.285225153e-10
Median Absolute Deviation (MAD)0.8997540176
Skewness0.1139149714
Sum6.426125765e-08
Variance0.9999999964
2020-08-25T00:11:00.765143image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.548725068610.2%
 
0.804397404210.2%
 
-0.352683931610.2%
 
-0.168042853510.2%
 
-0.940745651710.2%
 
0.602842688610.2%
 
-1.33850002310.2%
 
-1.12561595410.2%
 
0.421543270310.2%
 
0.870702624310.2%
 
0.578079998510.2%
 
0.0114945024310.2%
 
-0.941724896410.2%
 
1.44508326110.2%
 
1.73501789610.2%
 
-0.608476221610.2%
 
-0.0580670647310.2%
 
-0.654623389210.2%
 
-0.54036629210.2%
 
0.853846073210.2%
 
-0.995451450310.2%
 
1.70384573910.2%
 
1.78778910610.2%
 
0.859716534610.2%
 
0.17509648210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.57640600210.2%
 
-1.57325732710.2%
 
-1.57259082810.2%
 
-1.57191169310.2%
 
-1.55898940610.2%
 
-1.55714225810.2%
 
-1.54885935810.2%
 
-1.54787528510.2%
 
-1.54082834710.2%
 
-1.5381413710.2%
 
ValueCountFrequency (%) 
1.79373347810.2%
 
1.7936110510.2%
 
1.78778910610.2%
 
1.78669655310.2%
 
1.77725732310.2%
 
1.74880015910.2%
 
1.73501789610.2%
 
1.73405253910.2%
 
1.72893524210.2%
 
1.72384297810.2%
 

oz3
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.438923835754394e-10
Minimum-1.6675618886947632
Maximum1.7079463005065918
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:11:00.886427image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.667561889
5-th percentile-1.519154024
Q1-0.9398856908
median0.0145745771
Q30.8706468046
95-th percentile1.558433598
Maximum1.707946301
Range3.375508189
Interquartile range (IQR)1.810532495

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)1838599014
Kurtosis-1.225739613
Mean5.438923836e-10
Median Absolute Deviation (MAD)0.8948847055
Skewness0.005855927294
Sum2.719461918e-07
Variance1
2020-08-25T00:11:00.991826image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.597710490210.2%
 
1.69992458810.2%
 
-1.44207477610.2%
 
-1.56211924610.2%
 
-1.42840862310.2%
 
1.69598782110.2%
 
0.470872402210.2%
 
-0.0961488187310.2%
 
0.331087976710.2%
 
-0.719094932110.2%
 
-0.957661807510.2%
 
0.158045530310.2%
 
0.379081457910.2%
 
0.577115118510.2%
 
0.298027604810.2%
 
-0.186611950410.2%
 
0.752505421610.2%
 
-1.28391623510.2%
 
0.240812286710.2%
 
-0.564812183410.2%
 
-0.137785986110.2%
 
0.515012383510.2%
 
-1.52661395110.2%
 
1.15104079210.2%
 
1.04343187810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.66756188910.2%
 
-1.6604547510.2%
 
-1.6590255510.2%
 
-1.64635944410.2%
 
-1.63493144510.2%
 
-1.63221454610.2%
 
-1.6165753610.2%
 
-1.61435651810.2%
 
-1.60484361610.2%
 
-1.60095500910.2%
 
ValueCountFrequency (%) 
1.70794630110.2%
 
1.69992458810.2%
 
1.69598782110.2%
 
1.69536495210.2%
 
1.69051766410.2%
 
1.69039654710.2%
 
1.68134772810.2%
 
1.67887973810.2%
 
1.67383325110.2%
 
1.66439545210.2%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5306286531568958e-09
Minimum-1.739956974983215
Maximum1.7076655626296997
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:11:01.109973image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.739956975
5-th percentile-1.545085132
Q1-0.885700509
median0.05513313413
Q30.8198583424
95-th percentile1.517994654
Maximum1.707665563
Range3.447622538
Interquartile range (IQR)1.705558851

Descriptive statistics

Standard deviation0.9999999994
Coefficient of variation (CV)-653326329.2
Kurtosis-1.224381367
Mean-1.530628653e-09
Median Absolute Deviation (MAD)0.8586805463
Skewness-0.04821242266
Sum-7.653143266e-07
Variance0.9999999988
2020-08-25T00:11:01.214748image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.902273893410.2%
 
-0.0666908547310.2%
 
0.101478040210.2%
 
-1.41246986410.2%
 
-1.26697325710.2%
 
-0.748269081110.2%
 
-0.422602951510.2%
 
0.566717326610.2%
 
1.67054665110.2%
 
-0.198163345510.2%
 
1.70766556310.2%
 
-0.371741533310.2%
 
-0.871414601810.2%
 
-0.420571178210.2%
 
1.50325977810.2%
 
-1.18489551510.2%
 
1.66086089610.2%
 
0.714193344110.2%
 
0.0568442009410.2%
 
-1.11003661210.2%
 
-0.857753276810.2%
 
-1.35817778110.2%
 
-0.794601738510.2%
 
1.60899400710.2%
 
0.355149269110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.73995697510.2%
 
-1.7299591310.2%
 
-1.7288781410.2%
 
-1.72679817710.2%
 
-1.72547864910.2%
 
-1.71382665610.2%
 
-1.68357062310.2%
 
-1.6808302410.2%
 
-1.67767703510.2%
 
-1.67172837310.2%
 
ValueCountFrequency (%) 
1.70766556310.2%
 
1.70094215910.2%
 
1.69122934310.2%
 
1.68142187610.2%
 
1.67054665110.2%
 
1.66936016110.2%
 
1.66086089610.2%
 
1.63402152110.2%
 
1.62979817410.2%
 
1.61523401710.2%
 

oz16
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7709098756313324e-09
Minimum-1.7351473569869995
Maximum1.7812719345092771
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:11:01.330821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.735147357
5-th percentile-1.592103487
Q1-0.8257654309
median-0.03817778267
Q30.8791239709
95-th percentile1.577970308
Maximum1.781271935
Range3.516419291
Interquartile range (IQR)1.704889402

Descriptive statistics

Standard deviation0.9999999997
Coefficient of variation (CV)-564681474.4
Kurtosis-1.123232009
Mean-1.770909876e-09
Median Absolute Deviation (MAD)0.8293123003
Skewness0.0425801108
Sum-8.854549378e-07
Variance0.9999999993
2020-08-25T00:11:01.435127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.02147996410.2%
 
-0.304783433710.2%
 
1.10872268710.2%
 
1.08854627610.2%
 
1.44792211110.2%
 
-0.914397895310.2%
 
-0.917329430610.2%
 
-0.793306708310.2%
 
-0.688815891710.2%
 
-0.0267135221510.2%
 
0.944676399210.2%
 
-0.867529213410.2%
 
0.930317997910.2%
 
-0.272633433310.2%
 
-0.354176580910.2%
 
-0.252266526210.2%
 
0.841211378610.2%
 
0.585311651210.2%
 
0.923203110710.2%
 
-0.839221358310.2%
 
0.327458083610.2%
 
-0.601923286910.2%
 
-0.00852632988210.2%
 
-0.995715618110.2%
 
-0.0233882777410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.73514735710.2%
 
-1.73497164210.2%
 
-1.72997534310.2%
 
-1.72983121910.2%
 
-1.72157645210.2%
 
-1.71472728310.2%
 
-1.71063435110.2%
 
-1.70785784710.2%
 
-1.70255684910.2%
 
-1.69958376910.2%
 
ValueCountFrequency (%) 
1.78127193510.2%
 
1.76727604910.2%
 
1.76482832410.2%
 
1.75796151210.2%
 
1.75506007710.2%
 
1.75385725510.2%
 
1.73272407110.2%
 
1.722443710.2%
 
1.7153472910.2%
 
1.71172165910.2%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.733462214469909e-10
Minimum-1.7539422512054443
Maximum1.772412657737732
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:11:01.552253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.753942251
5-th percentile-1.573007745
Q1-0.8391050398
median0.007326307241
Q30.8371428549
95-th percentile1.598137105
Maximum1.772412658
Range3.526354909
Interquartile range (IQR)1.676247895

Descriptive statistics

Standard deviation0.9999999999
Coefficient of variation (CV)-1485120088
Kurtosis-1.142704768
Mean-6.733462214e-10
Median Absolute Deviation (MAD)0.8398188353
Skewness0.02402358165
Sum-3.366731107e-07
Variance0.9999999999
2020-08-25T00:11:01.658518image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.544921755810.2%
 
-1.3113677510.2%
 
-0.768821656710.2%
 
0.433736205110.2%
 
-1.22323024310.2%
 
0.247631102810.2%
 
-0.518847703910.2%
 
1.38730788210.2%
 
0.11173193910.2%
 
0.86065512910.2%
 
-1.45959305810.2%
 
1.60022020310.2%
 
0.0354196056710.2%
 
-0.142944157110.2%
 
1.35999929910.2%
 
1.23891091310.2%
 
0.173906162410.2%
 
-1.75258612610.2%
 
-0.786746621110.2%
 
-0.137477859910.2%
 
0.774024069310.2%
 
0.994793295910.2%
 
-1.08072841210.2%
 
-0.445478260510.2%
 
1.56901574110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.75394225110.2%
 
-1.75258612610.2%
 
-1.75220704110.2%
 
-1.7497119910.2%
 
-1.7437734610.2%
 
-1.74200344110.2%
 
-1.73970878110.2%
 
-1.73475027110.2%
 
-1.73073661310.2%
 
-1.71302044410.2%
 
ValueCountFrequency (%) 
1.77241265810.2%
 
1.7519055610.2%
 
1.75018751610.2%
 
1.74985599510.2%
 
1.7490758910.2%
 
1.73781883710.2%
 
1.71248924710.2%
 
1.70936000310.2%
 
1.7083007110.2%
 
1.70339393610.2%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4510005748036292e-09
Minimum-1.6603111028671265
Maximum1.7009633779525757
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:11:01.927692image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.660311103
5-th percentile-1.508517486
Q1-0.9088258743
median-0.01095879497
Q30.8717652857
95-th percentile1.528301799
Maximum1.700963378
Range3.361274481
Interquartile range (IQR)1.78059116

Descriptive statistics

Standard deviation0.999999999
Coefficient of variation (CV)-689179602.2
Kurtosis-1.265076969
Mean-1.451000575e-09
Median Absolute Deviation (MAD)0.8864304125
Skewness-0.01177654309
Sum-7.255002874e-07
Variance0.999999998
2020-08-25T00:11:02.032029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.880859196210.2%
 
-1.19600546410.2%
 
0.799146413810.2%
 
0.299476802310.2%
 
0.778646230710.2%
 
0.949545323810.2%
 
-1.26042437610.2%
 
1.48957431310.2%
 
-1.06316566510.2%
 
-0.409835487610.2%
 
1.30926656710.2%
 
1.48700463810.2%
 
-0.741553127810.2%
 
-0.275074183910.2%
 
-1.50850188710.2%
 
-0.375662058610.2%
 
-0.415128618510.2%
 
-1.61984133710.2%
 
-1.01632988510.2%
 
1.48899447910.2%
 
-0.892935693310.2%
 
-1.28834140310.2%
 
0.710743665710.2%
 
0.287477254910.2%
 
0.637084841710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.66031110310.2%
 
-1.65288102610.2%
 
-1.65260195710.2%
 
-1.64497089410.2%
 
-1.63813924810.2%
 
-1.63794529410.2%
 
-1.6351282610.2%
 
-1.63104188410.2%
 
-1.62961924110.2%
 
-1.62879943810.2%
 
ValueCountFrequency (%) 
1.70096337810.2%
 
1.68357288810.2%
 
1.67981457710.2%
 
1.67851924910.2%
 
1.6778707510.2%
 
1.67544555710.2%
 
1.67393553310.2%
 
1.67337167310.2%
 
1.66913974310.2%
 
1.65053224610.2%
 

oz21
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.592622518539428e-11
Minimum-1.7307939529418943
Maximum1.7194218635559082
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:11:02.151688image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.730793953
5-th percentile-1.533322269
Q1-0.8887435943
median0.04220094159
Q30.8829892129
95-th percentile1.591178024
Maximum1.719421864
Range3.450215816
Interquartile range (IQR)1.771732807

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1.042467791e+10
Kurtosis-1.204189658
Mean-9.592622519e-11
Median Absolute Deviation (MAD)0.882564187
Skewness0.02778021657
Sum-4.796311259e-08
Variance1.000000002
2020-08-25T00:11:02.256444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.867184221710.2%
 
1.36200654510.2%
 
0.615548074210.2%
 
-1.17567396210.2%
 
-0.179278433310.2%
 
-0.604812681710.2%
 
-0.590166628410.2%
 
0.591217637110.2%
 
0.428059101110.2%
 
0.76204770810.2%
 
-1.45081508210.2%
 
-1.02019441110.2%
 
0.867522776110.2%
 
1.71942186410.2%
 
-1.25848734410.2%
 
-1.13153898710.2%
 
-1.38011014510.2%
 
1.28193104310.2%
 
1.31904280210.2%
 
-1.3365616810.2%
 
-0.0856146514410.2%
 
0.304216772310.2%
 
0.26642584810.2%
 
1.23117792610.2%
 
0.727895617510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.73079395310.2%
 
-1.73067069110.2%
 
-1.73000216510.2%
 
-1.72936725610.2%
 
-1.68505108410.2%
 
-1.68123233310.2%
 
-1.67872154710.2%
 
-1.66980016210.2%
 
-1.63819944910.2%
 
-1.6304349910.2%
 
ValueCountFrequency (%) 
1.71942186410.2%
 
1.71835148310.2%
 
1.71348965210.2%
 
1.69833290610.2%
 
1.69249117410.2%
 
1.68816769110.2%
 
1.68254125110.2%
 
1.67781221910.2%
 
1.67768728710.2%
 
1.66365802310.2%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.636845111846923e-10
Minimum-1.6933631896972656
Maximum1.6497288942337036
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:11:02.372751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.69336319
5-th percentile-1.522506952
Q1-0.872054562
median0.008956365287
Q30.8657002747
95-th percentile1.540723181
Maximum1.649728894
Range3.343092084
Interquartile range (IQR)1.737754837

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)1309441252
Kurtosis-1.242137685
Mean7.636845112e-10
Median Absolute Deviation (MAD)0.872271806
Skewness-0.03685098783
Sum3.818422556e-07
Variance1.000000004
2020-08-25T00:11:02.477236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.38085877910.2%
 
-1.28912758810.2%
 
-0.469572693110.2%
 
-0.501291990310.2%
 
-1.34438300110.2%
 
-1.07680761810.2%
 
1.5104070910.2%
 
-1.43228638210.2%
 
0.965688943910.2%
 
1.19732344210.2%
 
-1.40147972110.2%
 
0.509120106710.2%
 
1.40886962410.2%
 
-1.40106034310.2%
 
-1.68817269810.2%
 
0.781588375610.2%
 
0.322936534910.2%
 
-1.45576143310.2%
 
0.604835450610.2%
 
-0.634132623710.2%
 
-0.577496111410.2%
 
0.888044118910.2%
 
-1.12374770610.2%
 
-0.311699271210.2%
 
-0.684923052810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.6933631910.2%
 
-1.68817269810.2%
 
-1.66448569310.2%
 
-1.6616607910.2%
 
-1.65812444710.2%
 
-1.65702605210.2%
 
-1.64781451210.2%
 
-1.64451837510.2%
 
-1.63797390510.2%
 
-1.63570213310.2%
 
ValueCountFrequency (%) 
1.64972889410.2%
 
1.6424462810.2%
 
1.64218020410.2%
 
1.63993275210.2%
 
1.63783824410.2%
 
1.63586735710.2%
 
1.63114142410.2%
 
1.62678813910.2%
 
1.62053322810.2%
 
1.6203700310.2%
 

oz22
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.320180207490921e-10
Minimum-1.6646078824996948
Maximum1.770408034324646
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:11:02.594053image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.664607882
5-th percentile-1.519267792
Q1-0.8446952105
median-0.0232122317
Q30.8884771168
95-th percentile1.568061703
Maximum1.770408034
Range3.435015917
Interquartile range (IQR)1.733172327

Descriptive statistics

Standard deviation0.9999999984
Coefficient of variation (CV)-1879635575
Kurtosis-1.209853519
Mean-5.320180207e-10
Median Absolute Deviation (MAD)0.8690022156
Skewness0.06533333539
Sum-2.660090104e-07
Variance0.9999999968
2020-08-25T00:11:02.699227image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.38476252610.2%
 
0.701511502310.2%
 
0.124919027110.2%
 
1.26300597210.2%
 
-0.840177953210.2%
 
-0.987999677710.2%
 
1.28192973110.2%
 
-0.765154659710.2%
 
1.17035484310.2%
 
-0.421719402110.2%
 
-0.912450492410.2%
 
0.898784756710.2%
 
1.62641036510.2%
 
0.465157091610.2%
 
0.885116934810.2%
 
1.69601905310.2%
 
-0.476362824410.2%
 
-0.0890339687510.2%
 
0.667353868510.2%
 
0.147795796410.2%
 
0.554079592210.2%
 
-1.37964379810.2%
 
0.402529567510.2%
 
0.225348934510.2%
 
1.70583939610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.66460788210.2%
 
-1.65383911110.2%
 
-1.62400031110.2%
 
-1.62323415310.2%
 
-1.62164521210.2%
 
-1.62103438410.2%
 
-1.62022650210.2%
 
-1.61938345410.2%
 
-1.61843287910.2%
 
-1.61783003810.2%
 
ValueCountFrequency (%) 
1.77040803410.2%
 
1.74732494410.2%
 
1.7385178810.2%
 
1.72667491410.2%
 
1.70583939610.2%
 
1.70071685310.2%
 
1.69601905310.2%
 
1.69554817710.2%
 
1.69499254210.2%
 
1.66839849910.2%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.867332220077515e-11
Minimum-1.7277562618255615
Maximum1.6610348224639893
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:11:02.813432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.727756262
5-th percentile-1.580833668
Q1-0.8150608242
median0.01310148602
Q30.8620482087
95-th percentile1.502783972
Maximum1.661034822
Range3.388791084
Interquartile range (IQR)1.677109033

Descriptive statistics

Standard deviation0.9999999961
Coefficient of variation (CV)-1.704352095e+10
Kurtosis-1.236170311
Mean-5.86733222e-11
Median Absolute Deviation (MAD)0.8444261551
Skewness-0.04871764755
Sum-2.93366611e-08
Variance0.9999999921
2020-08-25T00:11:02.917892image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.267576515710.2%
 
-0.792333841310.2%
 
1.07680022710.2%
 
-0.848954856410.2%
 
1.41022539110.2%
 
-0.105387128910.2%
 
1.26041555410.2%
 
-0.186360657210.2%
 
1.2857096210.2%
 
1.50261032610.2%
 
0.796228647210.2%
 
-1.56511902810.2%
 
1.02801024910.2%
 
-0.975116312510.2%
 
0.0953795611910.2%
 
-0.814900875110.2%
 
1.28285765610.2%
 
0.371754229110.2%
 
-0.880210518810.2%
 
0.318532615910.2%
 
0.491386175210.2%
 
1.43038845110.2%
 
-1.32882964610.2%
 
-1.676485310.2%
 
-0.727893114110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.72775626210.2%
 
-1.72472405410.2%
 
-1.71538305310.2%
 
-1.71431744110.2%
 
-1.70007121610.2%
 
-1.69614791910.2%
 
-1.69572150710.2%
 
-1.68665111110.2%
 
-1.68443977810.2%
 
-1.676485310.2%
 
ValueCountFrequency (%) 
1.66103482210.2%
 
1.6519200810.2%
 
1.6450544610.2%
 
1.63974595110.2%
 
1.63762414510.2%
 
1.62434542210.2%
 
1.62339270110.2%
 
1.6217827810.2%
 
1.61006772510.2%
 
1.60493814910.2%
 

target
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1478550732135773e-10
Minimum-2.641235589981079
Maximum2.17576003074646
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:11:03.037170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.64123559
5-th percentile-1.824787307
Q1-0.6750225127
median0.1122507602
Q30.7044780701
95-th percentile1.444040608
Maximum2.175760031
Range4.816995621
Interquartile range (IQR)1.379500583

Descriptive statistics

Standard deviation0.9999999984
Coefficient of variation (CV)8711901195
Kurtosis-0.3078778485
Mean1.147855073e-10
Median Absolute Deviation (MAD)0.7173748761
Skewness-0.3795985602
Sum5.739275366e-08
Variance0.9999999967
2020-08-25T00:11:03.135069image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.19530785110.2%
 
0.465497404310.2%
 
1.0019599210.2%
 
0.516897857210.2%
 
0.785454750110.2%
 
-0.012623800910.2%
 
1.63929259810.2%
 
0.586248695910.2%
 
-0.670037150410.2%
 
-1.12757921210.2%
 
-1.04750430610.2%
 
-1.21440541710.2%
 
-1.88540577910.2%
 
1.54557728810.2%
 
-0.582445979110.2%
 
-0.326825976410.2%
 
0.82457500710.2%
 
-0.424482375410.2%
 
-1.82159686110.2%
 
0.466872125910.2%
 
0.29801943910.2%
 
1.27094304610.2%
 
0.252760797710.2%
 
0.943514168310.2%
 
1.15889048610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.6412355910.2%
 
-2.63236188910.2%
 
-2.49990987810.2%
 
-2.47292137110.2%
 
-2.3912823210.2%
 
-2.37545180310.2%
 
-2.36238598810.2%
 
-2.33501529710.2%
 
-2.29782319110.2%
 
-2.29297709510.2%
 
ValueCountFrequency (%) 
2.17576003110.2%
 
2.16794800810.2%
 
2.13476324110.2%
 
2.09065628110.2%
 
2.00825238210.2%
 
1.9797089110.2%
 
1.90552020110.2%
 
1.90062677910.2%
 
1.89386975810.2%
 
1.86053013810.2%
 

Interactions

2020-08-25T00:09:59.559361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:59.849728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:09:59.988172image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:00.118948image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:00.257067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:00.396363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:00.539136image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:00.677043image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:00.820842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:00.959699image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:01.114955image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:01.254493image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:01.391834image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:01.530565image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:01.673595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:01.812165image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:01.951549image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:02.090821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:02.228845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:02.367025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:02.497407image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:02.638064image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:02.775793image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:02.905197image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:03.044358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:03.183988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:03.327842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:03.466625image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:03.611426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:03.749581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:04.048270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:04.186860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:04.325804image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:04.464131image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:04.604038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:04.745190image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:04.884831image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:05.023215image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:05.163520image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:05.301558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:05.431624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:05.560252image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:05.689142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:05.809170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:05.936629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:06.067853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:06.208833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:06.335431image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:06.461525image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:06.588325image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:06.718719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:06.853884image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:06.983079image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:07.113385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:07.242471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:07.369035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:07.497437image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:07.624813image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:07.758986image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:07.887975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:08.173502image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:08.311988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:08.454170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:08.594241image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:08.738873image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:08.879038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:09.031379image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:09.172068image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:09.314384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:09.458562image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:09.598252image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:09.738418image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:09.877256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:10.017859image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:10.161592image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:10:40.501113image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:40.640836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:40.771310image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:40.911318image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:41.050717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:41.193500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:41.331778image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:41.471129image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:41.611659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:41.751730image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:42.056210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:42.193948image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:42.332057image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:42.470991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:42.609300image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:42.748865image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:42.889015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:43.027066image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:43.167418image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:43.299145image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:43.437515image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:43.586915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:43.720261image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:43.862244image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:44.012808image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:44.158869image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:44.299154image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:44.441080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:44.587730image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:44.730056image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:44.869779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:45.006294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:45.146007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:45.282422image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:45.420275image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:45.559590image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:45.698363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:45.840338image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:45.977181image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:46.275318image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:46.415475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:46.559499image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:46.690117image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:46.830761image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:46.967256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:47.110357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:47.250818image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:47.391178image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:47.530908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:47.669101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:47.812021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:47.961181image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:48.101704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:48.240174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:48.387659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:48.527985image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:48.668512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:48.816721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:48.956455image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:49.088917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:49.237971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:49.387852image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:49.523725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:49.663728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:49.804461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:49.949261image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:50.088551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:50.230994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:50.531582image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:50.670355image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:50.816251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:50.962792image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:51.109615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:51.252603image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:51.394223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:51.537272image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:51.677127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:51.818274image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:51.959133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:52.089972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:52.231077image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:52.372471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:52.503739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:52.643862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:52.782866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:52.925935image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:53.062625image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:53.196404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:53.333243image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:53.473142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:53.612444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:53.752590image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:53.892958image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:54.037510image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:54.178011image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:54.319960image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:54.465096image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:54.773245image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:54.909428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:55.043089image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:55.175141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:55.304083image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:55.423857image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:55.552189image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:55.679792image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:55.812240image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:55.941130image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:56.073016image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:56.205494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:56.334172image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:56.463379image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:56.637489image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:56.814459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:56.942842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:57.073275image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:57.205277image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:57.331330image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:57.456298image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:57.589983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:11:03.275428image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:11:03.579641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:11:03.883570image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:11:04.188843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:10:57.858739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:10:58.316062image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
00.0595750.116309-0.587167-1.5867000.2498541.293327-1.032919-1.2752680.4191860.3640760.8262340.1799880.961810-1.022758-1.6449711.1476340.007317-1.542480-0.431251-0.670859
10.2510730.3864300.575974-0.5693460.4592571.5897941.0770500.1914090.632328-1.2489201.2412921.554048-0.4198780.0798670.416644-1.161905-1.382350-0.162600-0.062105-0.002379
20.1993171.0097781.1899550.929113-0.605189-1.6514451.4396481.4264821.1980760.505049-0.009678-1.176893-0.524300-0.934533-1.320726-1.5876810.748595-0.205929-0.220688-1.148180
31.302062-0.7415350.8756450.308617-0.4164010.0547360.8342740.3950661.741328-0.3261020.476536-0.206025-0.496149-0.2688741.248434-1.052256-0.448884-0.7834171.533360-1.398018
4-0.1718280.6489891.8249421.4258730.1958031.6484360.8412131.7714461.0710771.2624980.382778-0.6970321.722444-1.0824090.784401-0.9494010.6048350.596304-0.7341280.239524
51.3223681.4804330.793802-0.377596-0.9266400.793585-0.0605961.0979501.626193-0.499599-0.624509-0.5297350.7995030.9351571.288170-0.4379820.712747-0.712272-1.653378-1.311393
60.570091-0.605178-0.3094270.5168270.807625-0.987461-0.464489-0.2189130.221895-0.230348-0.6167071.660861-0.5896580.465754-0.260588-0.9360251.3539111.1657960.9962631.146676
7-1.1429740.820102-1.000479-0.561034-0.578408-1.339306-1.239375-0.9984491.523134-1.3473560.0348600.2068761.1877421.3541791.527824-0.819359-0.283113-1.3279840.7439670.966314
8-1.025370-1.7109170.412784-1.433044-0.8646000.529671-1.5361540.629377-0.5598261.368070-0.229354-1.522638-1.488325-0.7760160.6032880.188387-1.1941640.1569500.749265-1.595617
9-0.044565-0.2349560.611579-1.658997-0.6644401.0793051.6034560.183622-1.422521-0.5403661.066770-0.0085630.2367580.391627-1.4278250.4940900.9370341.2322361.149477-0.407199

Last rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
490-1.5223150.412383-0.747236-0.880319-0.736340-1.4090911.297356-0.156548-1.1931750.630315-1.478753-0.303887-1.0575921.156898-0.1764301.1490221.3777171.587204-1.5172291.686393
4910.678462-0.472158-1.2950150.340329-0.912898-0.3797850.700534-0.579586-0.5172941.107990-1.555766-1.3973360.2745690.9631201.0465990.1949680.0616261.1001330.5076281.478571
492-0.555189-1.490022-0.453990-0.3193240.429372-1.180179-1.071646-0.5840560.3071051.013915-0.4416900.800328-0.795010-0.0764361.2723030.1762581.5447130.342926-1.3555560.883542
4930.1356151.360934-0.118964-0.9506521.237649-1.401465-0.0186830.765424-1.124615-1.149144-1.5811590.171629-0.633079-0.757116-0.843897-0.1109480.145237-1.094607-0.343769-0.381761
494-0.4811031.5262110.230180-0.6991140.807896-0.4668311.558426-0.2296080.825972-0.6546231.6448610.902274-0.3546950.7063321.612896-0.556877-1.688173-0.850068-0.1053871.860530
4951.597875-0.2655570.833027-1.7228590.0530770.365036-0.5023200.473340-1.3835780.8707031.1510410.7484281.755060-1.707565-0.3294060.537541-1.5979930.721456-0.117521-2.065125
496-1.048767-1.117469-0.3285040.8777040.531113-1.4660551.008517-0.1019260.636167-0.427555-0.1350300.155979-1.2880750.590426-0.303836-0.390486-0.2061700.753563-1.6316721.117325
497-0.448094-0.6916991.219414-0.8626590.7983690.868283-0.0200411.3037620.9530901.7488000.4876660.3984130.2882961.0305661.444459-0.465719-0.814546-0.533660-1.456653-0.214868
498-1.5865111.1634790.7339860.662571-1.096607-0.2568880.4197290.284446-1.292254-0.2891880.939433-1.1792641.467481-0.910405-1.320267-0.986660-1.076552-0.523309-1.395456-1.463066
4991.317570-1.562997-0.8745040.909142-0.5203350.356297-0.413319-1.098206-0.8333260.8627480.1931690.1604490.3924311.032790-0.434965-0.7486150.4082240.017502-0.4904430.362242